Co-transport of PFCs in the environment- An interactive story
Bibliographic record
Abstract
The fate and transport of perfluorinated compounds (PFCs) have been extensively studied and widely reviewed recently. Literature reports that they are persistent and may travel considerable distances in all environmental compartments, such as water, sediment, air, and soil owing to their chemical and thermal stability. However, their transport with co-existing contaminants and their potential as vectors for various chemical and biological contaminants has been overlooked. In this sense, the present note addresses the role of PFCs as vectors, making this review one of its kind. This graphical review discusses the ability of PFCs to interact with different matrices, such as heavy metals, organic matter, and bacterial cell membranes via electrostatic and hydrophobic interactions, and aggregation and micelle formation, allowing them to act as vectors for various chemical and biological contaminants. This PFC-mediated transport can alter the tendency of both -PFCs and the contaminant to persist, bioaccumulate, and co-transport between and within disparate environmental matrices, as well as their interfaces. Further, this joint toxicity could potentially have elevated eco-toxicological impacts, including altered cell membrane permeability and increased cell uptake, which still need to be explored, thereby demonstrating the need for future investigations in this regard.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".